helpResearch questionVisual Analytics Explanation, Methods, and Workflows
How can data visualization design be improved to reduce the possibility of misleading interpretations?Visualization, Analytics, and Data Understanding / Visual Analytics Explanation, Methods, and Workflows
How can data visualization design be improved to reduce the possibility of misleading interpretations?
Similar questions
helpResearch questionVisual Analytics Explanation, Methods, and Workflows
Can optimizing point size and opacity in scatterplots affect users' belief change about positively correlated data?helpResearch questionVisual Analytics Explanation, Methods, and Workflows
What cognitive differences does chart optimization design produce for users with different graph literacy?helpResearch questionVisual Analytics Explanation, Methods, and Workflows
Is scatterplot optimization design affected by users' belief-defense confidence?helpResearch questionVisual Analytics Explanation, Methods, and Workflows
What types of internal information (within the visualization) and external information (personal background knowledge, etc.) do users employ when interpreting data visualizations?helpResearch questionVisual Analytics Explanation, Methods, and Workflows
How do users integrate internal and external information to understand data visualizations?helpResearch questionVisual Analytics Explanation, Methods, and Workflows
How does personal background (e.g., experience and identity) affect interpretation of the same data visualization?Related papers
CHI 2025
Effects of Alternative Scatterplot Designs on Belief
Gabriel Strain, Andrew J. Stewart, Caroline Jay
CHI 2025
Intra, Extra, Read all about it! How Readers Interpret Visualizations with Intra- and Extratextual Information
Alyxander Burns, Claudia Gonzalez-Vazquez
CHI 2024
Reading Between the Pixels: Investigating the Barriers to Visualization Literacy
Carolina Nobre, Kehang Zhu, Eric Mörth
CHI 2024
That's Rough! Encoding Data into Roughness for Physicalization
Xiaojiao Du, Kadek Ananta Satriadi, Adam Drogemuller
CHI 2023
Misleading Beyond Visual Tricks: How People Actually Lie with Charts
Maxim Lisnic, Cole Polychronis, Alexander Lex
CHI 2023
Subjective Probability Correction for Uncertainty Representations
Fumeng Yang, Maryam Hedayati, Matthew Kay
CHI 2023
ChartDetective: Easy and Accurate Interactive Data Extraction from Complex Vector Charts
Damien Masson, Sylvain Malacria, Daniel Vogel
CHI 2023
CrowdIDEA: Blending Crowd Intelligence and Data Analytics to Empower Causal Reasoning
Chi-Hsien Yen, Haocong Cheng, Yilin Xia
CHI 2023
Living with Sound Zones: A Long-term Field Study of Dynamic Sound Zones in a Domestic Context
Rune Møberg Jacobsen, Kasper Fangel Skov, Stine S Johansen
CHI 2023
Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback
Songlin Xu, Xinyu Zhang
IUI 2022
Robinhood's Forest: An Idle Game to Improve Investor Behavior
Sayan Chaudhry, Chinmay Kulkarni
CHI 2021
A Visual Analytics Approach to Facilitate the Proctoring of Online Exams
Haotian Li, Min Xu, Yong Wang